• Spatial Information Research
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• 제15권1호
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• pp.35-52
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• 2007

실세계에 가까운 가상현실의 표현기술과 웹을 통해 공간정보를 제공하는 3차원 GIS는 새로이 주목받는 분야 중에 하나이다. 특히, 공간데이터의 상호운용성에 대한 관심이 높아지고 있는 가운데, OGC는 상호운용을 지원하는 공간객체의 위상관계 명세를 발표하였다. 그러나 이 명세서는 2차원 공간객체에 국한되어있다. 이에 본 연구에서는 도시의 경관개선과 GIS 활용 기반 조성의 측면에서 3차원 공간객체의 위상관계를 구축하였다. 나아가 이를 토대로 신도시의 실정에 맞는 경관정보 가시화 방안을 제시하였다. 결과적으로 장소에 구애받지 않고 상시접속이 가능한 현실감 있는 도시경관에 대한 정보공유의 기틀을 마련하였다는 점에서 보다 큰 의의가 있다고 할 것이다.

• ETRI Journal
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• 제39권2호
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• pp.264-274
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• 2017

Recently, mobile positioning enhancement has attracted much attention in the 3rd generation partnership project long-term evolution system. In particular, for urban canyon environments, the need for three-dimensional (3D) positioning has increased to enable the altitude of users to be measured. For several decades, several time difference of arrival (TDOA-) based 3D positioning methods have been studied; however, they are only available when at least four evolved Node Bs (eNBs) exist nearby or when all eNBs have the same height. Therefore, in this paper, we propose a new 3D positioning method that estimates the 3D coordinates of a user using three types of two-dimensional (2D) TDOAs. However, the give inaccurate results owing to the undefined axis of the 2D coordinate plane. Therefore, we propose a novel derivation of the hyperbola equation, which includes the undefined axis coordinate in the 2D hyperbola equation. Then, we propose an interaction algorithm that mutually supplies the undefined axis coordinate of users among 2D TDOAs. By performing extensive simulations, we verify that the proposed method is the only solution applicable by using three eNBs with different heights.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권5호
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• pp.2607-2627
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• 2017

Nonnegative matrix factorization (NMF) has received considerable attention due to its effectiveness of reducing high dimensional data and importance of producing a parts-based image representation. Most of existing NMF variants attempt to address the assertion that the observed data distribute on a nonlinear low-dimensional manifold. However, recent research results showed that not only the observed data but also the features lie on the low-dimensional manifolds. In addition, a few hard priori label information is available and thus helps to uncover the intrinsic geometrical and discriminative structures of the data space. Motivated by the two aspects above mentioned, we propose a novel algorithm to enhance the effectiveness of image representation, called Dual graph-regularized Constrained Nonnegative Matrix Factorization (DCNMF). The underlying philosophy of the proposed method is that it not only considers the geometric structures of the data manifold and the feature manifold simultaneously, but also mines valuable information from a few known labeled examples. These schemes will improve the performance of image representation and thus enhance the effectiveness of image classification. Extensive experiments on common benchmarks demonstrated that DCNMF has its superiority in image classification compared with state-of-the-art methods.

• 한국항공우주학회지
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• 제45권6호
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• pp.523-530
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• 2017

높은 에너지의 레이저가 조사되면 레이저 삭마 현상을 일으키고, 결과적으로 플라즈마가 물질에 따라 특정한 파장의 빛을 방출하는 레이저 유도 파괴 분광법(LIBS, Laser-Induced Breakdown Spectroscopy)과 빛은 산란 현상에 대해 분자 간 혹은 분자 내의 회전 및 진동 운동을 측정하는 라만 분광법은 높은 정확도와 실시간 분석이 가능하다는 점, 원거리 검출이 가능하다는 장점들을 기반으로 우주 탐사 기술로써 주목을 받고 있다. 본 연구에서는 레이저 분광법을 활용하여 토양 성분의 변화에 따른 레이저 스펙트럼의 경향성을 파악하고, 이를 기반으로 2차원 화학적 분포도 실험을 진행하였다. 또한 화성(4-7 torr)과 달의 대기(<1 torr) 환경을 레이저 실험 환경 내에 구축하여 인공적인 우주 환경에서 LIBS와 라만 분광법을 활용하여 토양 성분의 변화에 따른 LIBS와 라만 분광법을 통한 계측이 가능함을 증명하였다.

• 대한가정학회지
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• 제35권2호
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• pp.159-172
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• 1997

The purpose of this study was to investigate visual evaluation according to various methods of motif presentation and the value contrast between the motif and background. The instruments developed for this purpose were two sets of stimuli and a response scale. the first set consisted of pattern stimuli. they were eight photographs of floral patterns constructed by using six different motif presentation methods and two different value contrasts. The second set had eight clothing stimuli, photographs of clothings with the above floral patterns. The 7-point sementic differential scale of 19 bipolar adjectives was used as the response scale. The data was analyzed by factor analysis, ANOVA and T-test. The major findings from this study were as follows; 1. Four factors emerged to account for the dimensional structure of the floral pattern image. These factors were attractiveness, tenderness, attention, and maturity. among them attractiveness and tenderness were the major dimensions 2. The patterns and the clothings had no significant difference from each other in terms of attractiveness and tenderness, but in terms of maturity and attention. The pattern presented a cute and sober image, but the clothing presented mature and gorgeous image. 3. methods of motif presentation had significant effects on all the factors. The pattern by shading method gave the most attractive and soft image, the one by line the most soberest, the one by area the most gorgeous, the one by collage the most unattractive, hardest, and cutest, and the one by mosaics the maturest. 4. The value contrast between the motif and background had no significant effects on attractiveness and maturity, but on tenderness and attention. The patterns with a high valued background presented a soft image, but the one with a low valued background a hard image. The patterns with a low valued area presented gorgeous image.

• 대한가정학회지
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• 제28권1호
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• pp.9-20
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• 1990

The purpose of this study was to identify the original quality of design by Issey Miyake and the relationship between the modern expression of art and his design regarding the form, internal symbolism, and Japanese tradition. The bottom current of the modern expression of art has two current: intention to autonomy or purism and intention to contingency. According to analysis of Miyake's design, it was found that Miyake has directed his attention to coexistance of fabric and the body with a pure fluid sculptured form based on two dimensional rectangular fabric. And his plasticity of dress was also made against the fitted structure form and idea of Haute Couture, emphasizaing on his own creativity and insisting on a creative collaboration between the designer and wearer. Finally, the fact that his design was inflnenced by traditionalison of Japanese costume and current modern expression of art was proved.

• Journal of Ceramic Processing Research
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• 제19권6호
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• pp.514-518
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• 2018

The direct carbon fuel cell (DCFC) has attracted researcher's attention recently, due to its high conversion efficiency and its abundant fuel, carbon. A DCFC mathematical model has developed in two-dimensional, lab-scale, and considers Boudouard reaction and carbon monoxide (CO) oxidation. The model simulates the CO production by Boudouard reaction and additional electron production by CO oxidation. The Boudouard equilibrium strongly depends on operating temperature and affects the amount of produced CO and consequentially affects the overall fuel cell performance. Two different operating temperatures (973 K, 1023 K) has been calculated to discover the CO production by Boudouard reaction and overall fuel cell performance. Moreover, anode thickness of the cell has been considered to find out the influence of the Boudouard reaction zone in fuel cell performance. It was found that in high temperature operating DCFC modeling, the Boudouard reaction cannot be neglected and has a vital role in the overall fuel cell performance.

• 한국의상디자인학회지
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• 제17권1호
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• pp.1-11
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• 2015

Fashion and architecture essentially have structure to build space for a form of three dimensions. This study defines the form in which structure in itself becomes design as structural simplicity and investigates design paying attention to only structure. It is one of efforts in order to display new design required in the age of a flood of design and it is considered that before developing design through the fusion of architecture and fashion, understanding structure which is the most fundamental element to constitute the form of the two genres will be a groundwork to develop proper fusion design. This study elucidates similarities between architecture and fashion through literature review and investigates structure meant in architecture and fashion, and after that, collects corresponding examples through related literature and fashion information site. For structural simplicity in architecture, structure of a building in itself is a form and decoration at the same time, and it appears as a form of minimizing other elements and stressing the structure only. Structure in fashion means composition line which essentially exists to embody two dimensional materials onto three dimensional human body. As elements of geometric lines are creatively expressed by a designer in order to constitute three dimensional form from structural simplicity, they connote a variety of functions and exert decorative effects as well. And the shape of structure expressed like this is employed as a tool to show off the designer's techniques.

• 대한기계학회논문집B
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• 제26권5호
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• pp.695-702
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• 2002

Nonlinear dynamics of striped diffusion flames, by the diffusional-thermal instability with Lewis numbers sufficiently less than unity, is numerically investigated by examining various two-dimensional flame-structure solutions. The Lewis numbers for fuel and oxidizer are assumed to be identical and an overall single-step Arrhenius-type chemical reaction rate is employed in the model. Particular attention is focused on identifying the flame-stripe solution branches corresponding to each distinct stripe pattern and hysteresis encountered during the transition. At a Damkohler number slightly greater than the extinction Damkohler number, eight-stripe solution first emerges from one dimensional solution. The eight-stripe solution survives Damkohler numbers much smaller than the extinction Damkohler number until the transition to four-stripe solution occurs at the first forward transition Damkohler number. At the second forward transition Damkohler number, somewhat smaller than the first transition Damkohler number, the transition to two-stripe solution occurs. However, anu further transition from two-stripe solution to one-stripe solution is not always possible even if one-stripe solution can be independently accessed for particular initial conditions. The Damkohler number ranges for two-stripe and one-stripe solutions are found to be virtually identical because each stripe is an independent structure if distance between stripes is sufficiently large. By increasing the Damkohler number, the backward transition can be observed. In comparison with the forward transition Damkohler numbers, the corresponding backward transition Damkohler numbers are always much greater, thereby indicating significant hysteresis between the stripe patterns of strained diffusion flames.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1833-1848
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• 2022

Named entity recognition (NER) is an important basic task in the field of Natural Language Processing (NLP). Recently deep learning approaches by extracting word segmentation or character features have been proved to be effective for Chinese Named Entity Recognition (CNER). However, since this method of extracting features only focuses on extracting some of the features, it lacks textual information mining from multiple perspectives and dimensions, resulting in the model not being able to fully capture semantic features. To tackle this problem, we propose a novel Multi-view Semantic Feature Fusion Model (MSFM). The proposed model mainly consists of two core components, that is, Multi-view Semantic Feature Fusion Embedding Module (MFEM) and Multi-head Self-Attention Mechanism Module (MSAM). Specifically, the MFEM extracts character features, word boundary features, radical features, and pinyin features of Chinese characters. The acquired font shape, font sound, and font meaning features are fused to enhance the semantic information of Chinese characters with different granularities. Moreover, the MSAM is used to capture the dependencies between characters in a multi-dimensional subspace to better understand the semantic features of the context. Extensive experimental results on four benchmark datasets show that our method improves the overall performance of the CNER model.